The primary role is to design, build, and configure applications to meet business process and application requirements using SAS Visual Data Mining and Machine Learning.
The job involves working with SAS, developing and deploying advanced machine learning models, and conducting detailed analysis of complex data sets.
The applicant will be expected to lead the development and deployment of advanced machine learning models using SAS Visual Data Mining and Machine Learning.
This involves conducting detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights.
Collaboration with cross-functional teams is a crucial part of the job, applying expertise in diverse machine learning algorithms.
The applicant will be expected to communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity.
Staying updated with the latest advancements in machine learning and data science, integrating innovative approaches for sustained competitive advantage.
The applicant must have proficiency in SAS Visual Data Mining and Machine Learning.
Experience with Python, R, and Big Data technologies is preferred.
The applicant must have a strong understanding of statistical analysis and machine learning algorithms.
Experience with data visualization tools such as Tableau or Power BI is required.
The applicant must have experience in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
A solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity is required.
